Overview

Dataset statistics

Number of variables20
Number of observations385500
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory58.8 MiB
Average record size in memory160.0 B

Variable types

Numeric20

Alerts

negpmax[10] is highly overall correlated with negpmax[3] and 1 other fieldsHigh correlation
negpmax[11] is highly overall correlated with yHigh correlation
negpmax[13] is highly overall correlated with negpmax[14] and 2 other fieldsHigh correlation
negpmax[14] is highly overall correlated with negpmax[13] and 1 other fieldsHigh correlation
negpmax[1] is highly overall correlated with xHigh correlation
negpmax[3] is highly overall correlated with negpmax[10] and 1 other fieldsHigh correlation
negpmax[4] is highly overall correlated with yHigh correlation
negpmax[5] is highly overall correlated with negpmax[6] and 2 other fieldsHigh correlation
negpmax[6] is highly overall correlated with negpmax[5]High correlation
negpmax[8] is highly overall correlated with negpmax[13] and 1 other fieldsHigh correlation
x is highly overall correlated with negpmax[13] and 4 other fieldsHigh correlation
y is highly overall correlated with negpmax[10] and 4 other fieldsHigh correlation
negpmax[0] is highly skewed (γ1 = -360.6603538)Skewed
negpmax[1] is highly skewed (γ1 = -226.4792477)Skewed
negpmax[2] is highly skewed (γ1 = 416.1662618)Skewed
negpmax[3] is highly skewed (γ1 = -332.0010744)Skewed
negpmax[4] is highly skewed (γ1 = -298.1308851)Skewed
negpmax[6] is highly skewed (γ1 = -257.7164663)Skewed
negpmax[7] is highly skewed (γ1 = -548.3670515)Skewed
negpmax[8] is highly skewed (γ1 = -386.5507867)Skewed
negpmax[9] is highly skewed (γ1 = -280.3582782)Skewed
negpmax[10] is highly skewed (γ1 = -330.2197187)Skewed
negpmax[11] is highly skewed (γ1 = -375.0891779)Skewed
negpmax[12] is highly skewed (γ1 = -298.529311)Skewed
negpmax[13] is highly skewed (γ1 = -270.4791604)Skewed
negpmax[14] is highly skewed (γ1 = 222.452793)Skewed
negpmax[15] is highly skewed (γ1 = 210.4312035)Skewed

Reproduction

Analysis started2024-01-12 12:40:25.441884
Analysis finished2024-01-12 12:42:27.937211
Duration2 minutes and 2.5 seconds
Software versionydata-profiling vv4.6.4
Download configurationconfig.json

Variables

negpmax[0]
Real number (ℝ)

SKEWED 

Distinct348021
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-5.0461623
Minimum-7741.1099
Maximum-0.74581607
Zeros0
Zeros (%)0.0%
Negative385500
Negative (%)100.0%
Memory size2.9 MiB
2024-01-12T13:42:28.050212image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum-7741.1099
5-th percentile-6.4335969
Q1-5.2571777
median-4.6464203
Q3-4.0932106
95-th percentile-3.3533946
Maximum-0.74581607
Range7740.3641
Interquartile range (IQR)1.1639671

Descriptive statistics

Standard deviation15.877804
Coefficient of variation (CV)-3.1465108
Kurtosis157763.68
Mean-5.0461623
Median Absolute Deviation (MAD)0.58016119
Skewness-360.66035
Sum-1945295.6
Variance252.10467
MonotonicityNot monotonic
2024-01-12T13:42:28.193215image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-4.935784912 6
 
< 0.1%
-4.636773682 6
 
< 0.1%
-5.016390991 6
 
< 0.1%
-4.171429443 5
 
< 0.1%
-4.590963745 5
 
< 0.1%
-4.304550171 5
 
< 0.1%
-5.009863281 5
 
< 0.1%
-4.249197388 5
 
< 0.1%
-3.742080688 5
 
< 0.1%
-4.706271362 5
 
< 0.1%
Other values (348011) 385447
> 99.9%
ValueCountFrequency (%)
-7741.109923 1
< 0.1%
-3745.743567 1
< 0.1%
-2643.265217 1
< 0.1%
-1940.361811 1
< 0.1%
-1908.516516 1
< 0.1%
-1590.129253 1
< 0.1%
-1519.959676 1
< 0.1%
-816.329494 1
< 0.1%
-639.5484079 1
< 0.1%
-591.4480861 1
< 0.1%
ValueCountFrequency (%)
-0.7458160651 1
< 0.1%
-1.046100001 1
< 0.1%
-1.151201224 1
< 0.1%
-1.28457948 1
< 0.1%
-1.32527134 1
< 0.1%
-1.372345924 1
< 0.1%
-1.41198189 1
< 0.1%
-1.437504487 1
< 0.1%
-1.489290093 1
< 0.1%
-1.504046833 1
< 0.1%

negpmax[1]
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct364979
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-9.1879171
Minimum-9930.1146
Maximum-1.0545077
Zeros0
Zeros (%)0.0%
Negative385500
Negative (%)100.0%
Memory size2.9 MiB
2024-01-12T13:42:28.356242image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum-9930.1146
5-th percentile-30.781083
Q1-8.1143234
median-5.2290091
Q3-4.3876862
95-th percentile-3.5128902
Maximum-1.0545077
Range9929.0601
Interquartile range (IQR)3.7266373

Descriptive statistics

Standard deviation29.95529
Coefficient of variation (CV)-3.2602917
Kurtosis62600.461
Mean-9.1879171
Median Absolute Deviation (MAD)1.1107627
Skewness-226.47925
Sum-3541942
Variance897.31938
MonotonicityNot monotonic
2024-01-12T13:42:28.517242image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-4.984194946 5
 
< 0.1%
-4.259552002 5
 
< 0.1%
-4.06647644 5
 
< 0.1%
-4.258639526 5
 
< 0.1%
-4.629296875 5
 
< 0.1%
-4.97638855 4
 
< 0.1%
-3.758108521 4
 
< 0.1%
-4.22713623 4
 
< 0.1%
-4.852233887 4
 
< 0.1%
-4.606228638 4
 
< 0.1%
Other values (364969) 385455
> 99.9%
ValueCountFrequency (%)
-9930.114637 1
< 0.1%
-8914.510761 1
< 0.1%
-6181.483775 1
< 0.1%
-5590.745816 1
< 0.1%
-4685.016288 1
< 0.1%
-3934.731699 1
< 0.1%
-3853.931695 1
< 0.1%
-3121.732245 1
< 0.1%
-1236.795412 1
< 0.1%
-1235.522496 1
< 0.1%
ValueCountFrequency (%)
-1.054507737 1
< 0.1%
-1.092450323 1
< 0.1%
-1.114030558 1
< 0.1%
-1.266039295 1
< 0.1%
-1.434287936 1
< 0.1%
-1.446317438 1
< 0.1%
-1.478857042 1
< 0.1%
-1.52775563 1
< 0.1%
-1.568168731 1
< 0.1%
-1.571007391 1
< 0.1%

negpmax[2]
Real number (ℝ)

SKEWED 

Distinct355150
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-5.5967766
Minimum-10777.684
Maximum74827.377
Zeros0
Zeros (%)0.0%
Negative385498
Negative (%)> 99.9%
Memory size2.9 MiB
2024-01-12T13:42:28.669215image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum-10777.684
5-th percentile-13.628266
Q1-5.67435
median-4.873082
Q3-4.2457882
95-th percentile-3.4598232
Maximum74827.377
Range85605.061
Interquartile range (IQR)1.4285618

Descriptive statistics

Standard deviation173.28984
Coefficient of variation (CV)-30.962437
Kurtosis180470.74
Mean-5.5967766
Median Absolute Deviation (MAD)0.69522508
Skewness416.16626
Sum-2157557.4
Variance30029.37
MonotonicityNot monotonic
2024-01-12T13:42:28.798211image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-4.656845093 6
 
< 0.1%
-4.621166992 6
 
< 0.1%
-5.173995972 5
 
< 0.1%
-4.231277466 5
 
< 0.1%
-4.821792603 5
 
< 0.1%
-4.762768555 5
 
< 0.1%
-4.652124023 5
 
< 0.1%
-4.58092041 5
 
< 0.1%
-5.236935425 5
 
< 0.1%
-4.399459839 5
 
< 0.1%
Other values (355140) 385448
> 99.9%
ValueCountFrequency (%)
-10777.68426 1
< 0.1%
-9654.936352 1
< 0.1%
-7886.759888 1
< 0.1%
-6961.193798 1
< 0.1%
-4693.691574 1
< 0.1%
-3893.580649 1
< 0.1%
-2457.431226 1
< 0.1%
-1710.107671 1
< 0.1%
-1254.480358 1
< 0.1%
-1048.011837 1
< 0.1%
ValueCountFrequency (%)
74827.37723 1
< 0.1%
74820.43968 1
< 0.1%
-0.5405925584 1
< 0.1%
-1.073634097 1
< 0.1%
-1.122057142 1
< 0.1%
-1.206915824 1
< 0.1%
-1.220637375 1
< 0.1%
-1.336545495 1
< 0.1%
-1.36688917 1
< 0.1%
-1.367618803 1
< 0.1%

negpmax[3]
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct372049
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-13.964902
Minimum-25502.558
Maximum-1.1566278
Zeros0
Zeros (%)0.0%
Negative385500
Negative (%)100.0%
Memory size2.9 MiB
2024-01-12T13:42:28.938243image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum-25502.558
5-th percentile-49.525641
Q1-17.757946
median-6.0601334
Q3-4.6805084
95-th percentile-3.6629848
Maximum-1.1566278
Range25501.401
Interquartile range (IQR)13.077438

Descriptive statistics

Standard deviation68.418678
Coefficient of variation (CV)-4.899331
Kurtosis116739.35
Mean-13.964902
Median Absolute Deviation (MAD)1.9813068
Skewness-332.00107
Sum-5383469.8
Variance4681.1155
MonotonicityNot monotonic
2024-01-12T13:42:29.090242image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-4.894543457 5
 
< 0.1%
-5.988519287 4
 
< 0.1%
-5.335021973 4
 
< 0.1%
-4.659609985 4
 
< 0.1%
-4.843499756 4
 
< 0.1%
-4.584515381 4
 
< 0.1%
-4.373394775 4
 
< 0.1%
-4.717922974 4
 
< 0.1%
-4.242272949 4
 
< 0.1%
-5.506130981 4
 
< 0.1%
Other values (372039) 385459
> 99.9%
ValueCountFrequency (%)
-25502.55777 1
< 0.1%
-23980.58646 1
< 0.1%
-22010.55508 1
< 0.1%
-2135.750092 1
< 0.1%
-1766.599709 1
< 0.1%
-1677.010896 1
< 0.1%
-541.1636109 1
< 0.1%
-451.3643812 1
< 0.1%
-188.425906 1
< 0.1%
-149.1700448 1
< 0.1%
ValueCountFrequency (%)
-1.156627817 1
< 0.1%
-1.298421492 1
< 0.1%
-1.370498657 1
< 0.1%
-1.375091039 1
< 0.1%
-1.474986483 1
< 0.1%
-1.513497201 1
< 0.1%
-1.632525635 1
< 0.1%
-1.633370154 1
< 0.1%
-1.689878248 1
< 0.1%
-1.700268555 1
< 0.1%

negpmax[4]
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct363861
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-8.4542001
Minimum-42648.221
Maximum-0.87650499
Zeros0
Zeros (%)0.0%
Negative385500
Negative (%)100.0%
Memory size2.9 MiB
2024-01-12T13:42:29.255229image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum-42648.221
5-th percentile-23.988506
Q1-7.3876602
median-5.3240097
Q3-4.5065163
95-th percentile-3.6246515
Maximum-0.87650499
Range42647.345
Interquartile range (IQR)2.8811439

Descriptive statistics

Standard deviation115.44
Coefficient of variation (CV)-13.654751
Kurtosis95390.224
Mean-8.4542001
Median Absolute Deviation (MAD)1.0418579
Skewness-298.13089
Sum-3259094.1
Variance13326.393
MonotonicityNot monotonic
2024-01-12T13:42:29.391214image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-4.908303833 5
 
< 0.1%
-4.35189209 5
 
< 0.1%
-5.315161133 5
 
< 0.1%
-4.585043335 5
 
< 0.1%
-4.676217651 4
 
< 0.1%
-4.908898926 4
 
< 0.1%
-4.242736816 4
 
< 0.1%
-4.116256714 4
 
< 0.1%
-3.87611084 4
 
< 0.1%
-4.50796814 4
 
< 0.1%
Other values (363851) 385456
> 99.9%
ValueCountFrequency (%)
-42648.22138 1
< 0.1%
-38012.33874 1
< 0.1%
-29361.27607 1
< 0.1%
-22547.07721 1
< 0.1%
-19198.84605 1
< 0.1%
-5810.813366 1
< 0.1%
-5763.318605 1
< 0.1%
-4514.03277 1
< 0.1%
-3704.414228 1
< 0.1%
-3695.546609 1
< 0.1%
ValueCountFrequency (%)
-0.8765049893 1
< 0.1%
-0.9554986142 1
< 0.1%
-1.279119885 1
< 0.1%
-1.312775944 1
< 0.1%
-1.351813825 1
< 0.1%
-1.382180038 1
< 0.1%
-1.383336623 1
< 0.1%
-1.401692709 1
< 0.1%
-1.403765327 1
< 0.1%
-1.481176776 1
< 0.1%

negpmax[5]
Real number (ℝ)

HIGH CORRELATION 

Distinct378918
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-20.186649
Minimum-2135.1261
Maximum-1.2378404
Zeros0
Zeros (%)0.0%
Negative385500
Negative (%)100.0%
Memory size2.9 MiB
2024-01-12T13:42:29.541215image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum-2135.1261
5-th percentile-54.901535
Q1-31.219964
median-12.875058
Q3-6.2096764
95-th percentile-4.2760361
Maximum-1.2378404
Range2133.8883
Interquartile range (IQR)25.010287

Descriptive statistics

Standard deviation17.294225
Coefficient of variation (CV)-0.85671597
Kurtosis596.96907
Mean-20.186649
Median Absolute Deviation (MAD)7.9257889
Skewness-6.0413516
Sum-7781953.3
Variance299.09021
MonotonicityNot monotonic
2024-01-12T13:42:29.681216image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-4.578659058 3
 
< 0.1%
-4.904840088 3
 
< 0.1%
-4.726004028 3
 
< 0.1%
-7.422598267 3
 
< 0.1%
-4.795687866 3
 
< 0.1%
-10.629599 3
 
< 0.1%
-6.475338745 3
 
< 0.1%
-5.322229004 3
 
< 0.1%
-4.495870972 3
 
< 0.1%
-4.911791992 3
 
< 0.1%
Other values (378908) 385470
> 99.9%
ValueCountFrequency (%)
-2135.126117 1
< 0.1%
-893.3818428 1
< 0.1%
-287.4092626 1
< 0.1%
-187.5628258 1
< 0.1%
-160.8517062 1
< 0.1%
-112.2792431 1
< 0.1%
-109.6958566 1
< 0.1%
-89.34477224 1
< 0.1%
-81.16648865 1
< 0.1%
-80.37880859 1
< 0.1%
ValueCountFrequency (%)
-1.237840431 1
< 0.1%
-1.408457819 1
< 0.1%
-1.646505674 1
< 0.1%
-1.657708859 1
< 0.1%
-1.668808361 1
< 0.1%
-1.75915084 1
< 0.1%
-1.794954434 1
< 0.1%
-1.812451172 1
< 0.1%
-1.822229004 1
< 0.1%
-1.852177291 1
< 0.1%

negpmax[6]
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct362020
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-8.8140836
Minimum-10967.68
Maximum-0.87525903
Zeros0
Zeros (%)0.0%
Negative385500
Negative (%)100.0%
Memory size2.9 MiB
2024-01-12T13:42:29.823216image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum-10967.68
5-th percentile-30.692666
Q1-6.9770561
median-5.2448395
Q3-4.4694611
95-th percentile-3.6167439
Maximum-0.87525903
Range10966.805
Interquartile range (IQR)2.5075951

Descriptive statistics

Standard deviation26.239272
Coefficient of variation (CV)-2.9769711
Kurtosis91489.418
Mean-8.8140836
Median Absolute Deviation (MAD)0.96929145
Skewness-257.71647
Sum-3397829.2
Variance688.4994
MonotonicityNot monotonic
2024-01-12T13:42:29.973243image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-5.206686401 5
 
< 0.1%
-4.986428833 5
 
< 0.1%
-5.164105225 5
 
< 0.1%
-5.486227417 5
 
< 0.1%
-4.819003296 5
 
< 0.1%
-4.945831299 4
 
< 0.1%
-5.236251831 4
 
< 0.1%
-4.290420532 4
 
< 0.1%
-4.522979736 4
 
< 0.1%
-5.46026001 4
 
< 0.1%
Other values (362010) 385455
> 99.9%
ValueCountFrequency (%)
-10967.68044 1
< 0.1%
-5631.924716 1
< 0.1%
-5238.83206 1
< 0.1%
-4084.062022 1
< 0.1%
-3720.689005 1
< 0.1%
-2563.578544 1
< 0.1%
-2178.87929 1
< 0.1%
-1927.087384 1
< 0.1%
-1049.149259 1
< 0.1%
-1034.959101 1
< 0.1%
ValueCountFrequency (%)
-0.8752590319 1
< 0.1%
-0.9923668284 1
< 0.1%
-1.36513904 1
< 0.1%
-1.369527521 1
< 0.1%
-1.414624211 1
< 0.1%
-1.470422455 1
< 0.1%
-1.572550191 1
< 0.1%
-1.58181484 1
< 0.1%
-1.590478515 1
< 0.1%
-1.639253348 1
< 0.1%

negpmax[7]
Real number (ℝ)

SKEWED 

Distinct350098
Distinct (%)90.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-5.3097272
Minimum-63107.688
Maximum-1.2065694
Zeros0
Zeros (%)0.0%
Negative385500
Negative (%)100.0%
Memory size2.9 MiB
2024-01-12T13:42:30.120233image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum-63107.688
5-th percentile-6.5190067
Q1-5.3234947
median-4.7043613
Q3-4.1443413
95-th percentile-3.4029752
Maximum-1.2065694
Range63106.481
Interquartile range (IQR)1.1791534

Descriptive statistics

Standard deviation106.86575
Coefficient of variation (CV)-20.12641
Kurtosis317774.75
Mean-5.3097272
Median Absolute Deviation (MAD)0.58667639
Skewness-548.36705
Sum-2046899.8
Variance11420.288
MonotonicityNot monotonic
2024-01-12T13:42:30.258236image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-4.35737915 6
 
< 0.1%
-4.676202393 6
 
< 0.1%
-4.218331909 5
 
< 0.1%
-4.467184448 5
 
< 0.1%
-3.935638428 5
 
< 0.1%
-4.662854004 5
 
< 0.1%
-3.986282349 5
 
< 0.1%
-4.802770996 5
 
< 0.1%
-4.693463135 5
 
< 0.1%
-4.301980591 5
 
< 0.1%
Other values (350088) 385448
> 99.9%
ValueCountFrequency (%)
-63107.68795 1
< 0.1%
-18621.30352 1
< 0.1%
-5605.052016 1
< 0.1%
-3300.52362 1
< 0.1%
-2841.653412 1
< 0.1%
-2685.260059 1
< 0.1%
-1961.93361 1
< 0.1%
-1633.040983 1
< 0.1%
-1508.569141 1
< 0.1%
-1138.90733 1
< 0.1%
ValueCountFrequency (%)
-1.20656941 1
< 0.1%
-1.242981359 1
< 0.1%
-1.246176933 1
< 0.1%
-1.323470683 1
< 0.1%
-1.323586377 1
< 0.1%
-1.327522942 1
< 0.1%
-1.360027337 1
< 0.1%
-1.367504883 1
< 0.1%
-1.382733836 1
< 0.1%
-1.391586081 1
< 0.1%

negpmax[8]
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct369406
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-12.218777
Minimum-86543.677
Maximum-0.010708011
Zeros0
Zeros (%)0.0%
Negative385500
Negative (%)100.0%
Memory size2.9 MiB
2024-01-12T13:42:30.430242image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum-86543.677
5-th percentile-40.228967
Q1-12.78878
median-5.8268799
Q3-4.7820323
95-th percentile-3.833358
Maximum-0.010708011
Range86543.666
Interquartile range (IQR)8.0067479

Descriptive statistics

Standard deviation184.96381
Coefficient of variation (CV)-15.13767
Kurtosis163433.14
Mean-12.218777
Median Absolute Deviation (MAD)1.5000909
Skewness-386.55079
Sum-4710338.5
Variance34211.61
MonotonicityNot monotonic
2024-01-12T13:42:30.590242image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-4.497241211 5
 
< 0.1%
-6.101940918 4
 
< 0.1%
-4.385882568 4
 
< 0.1%
-4.452893066 4
 
< 0.1%
-5.111987305 4
 
< 0.1%
-4.512332153 4
 
< 0.1%
-4.551531982 4
 
< 0.1%
-4.755514526 4
 
< 0.1%
-5.236392212 4
 
< 0.1%
-5.073501587 4
 
< 0.1%
Other values (369396) 385459
> 99.9%
ValueCountFrequency (%)
-86543.67718 1
< 0.1%
-64260.7395 1
< 0.1%
-24126.07168 1
< 0.1%
-21926.16077 1
< 0.1%
-14209.81894 1
< 0.1%
-12569.10799 1
< 0.1%
-6644.33526 1
< 0.1%
-3441.34874 1
< 0.1%
-3270.249332 1
< 0.1%
-3030.731684 1
< 0.1%
ValueCountFrequency (%)
-0.01070801087 1
< 0.1%
-0.7485331122 1
< 0.1%
-0.8274637895 1
< 0.1%
-1.043325005 1
< 0.1%
-1.287059168 1
< 0.1%
-1.287906776 1
< 0.1%
-1.422101743 1
< 0.1%
-1.460546422 1
< 0.1%
-1.502177266 1
< 0.1%
-1.613165303 1
< 0.1%

negpmax[9]
Real number (ℝ)

SKEWED 

Distinct360906
Distinct (%)93.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-8.1716424
Minimum-30718.927
Maximum-0.77151808
Zeros0
Zeros (%)0.0%
Negative385500
Negative (%)100.0%
Memory size2.9 MiB
2024-01-12T13:42:30.743216image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum-30718.927
5-th percentile-24.976307
Q1-6.4294009
median-5.1848832
Q3-4.470182
95-th percentile-3.6393396
Maximum-0.77151808
Range30718.156
Interquartile range (IQR)1.9592188

Descriptive statistics

Standard deviation73.012116
Coefficient of variation (CV)-8.9348153
Kurtosis97000.373
Mean-8.1716424
Median Absolute Deviation (MAD)0.85992902
Skewness-280.35828
Sum-3150168.1
Variance5330.7691
MonotonicityNot monotonic
2024-01-12T13:42:30.892215image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-4.588952637 5
 
< 0.1%
-5.66138916 5
 
< 0.1%
-4.148104858 5
 
< 0.1%
-4.680984497 5
 
< 0.1%
-4.750421143 5
 
< 0.1%
-4.766299438 5
 
< 0.1%
-4.691152954 5
 
< 0.1%
-4.523733521 5
 
< 0.1%
-4.663870239 5
 
< 0.1%
-4.404586792 5
 
< 0.1%
Other values (360896) 385450
> 99.9%
ValueCountFrequency (%)
-30718.92725 1
< 0.1%
-15758.64885 1
< 0.1%
-14758.02564 1
< 0.1%
-13676.73052 1
< 0.1%
-10705.44739 1
< 0.1%
-8128.541735 1
< 0.1%
-7902.857682 1
< 0.1%
-7508.544253 1
< 0.1%
-7499.832648 1
< 0.1%
-5910.141021 1
< 0.1%
ValueCountFrequency (%)
-0.7715180753 1
< 0.1%
-1.025246032 1
< 0.1%
-1.075532197 1
< 0.1%
-1.165804889 1
< 0.1%
-1.251938346 1
< 0.1%
-1.347146575 1
< 0.1%
-1.380709954 1
< 0.1%
-1.401534671 1
< 0.1%
-1.433758094 1
< 0.1%
-1.459381104 1
< 0.1%

negpmax[10]
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct377679
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-21.218853
Minimum-57175.302
Maximum-1.2966765
Zeros0
Zeros (%)0.0%
Negative385500
Negative (%)100.0%
Memory size2.9 MiB
2024-01-12T13:42:31.052219image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum-57175.302
5-th percentile-60.279247
Q1-33.188326
median-10.563461
Q3-5.7266167
95-th percentile-4.2347986
Maximum-1.2966765
Range57174.005
Interquartile range (IQR)27.461709

Descriptive statistics

Standard deviation124.88136
Coefficient of variation (CV)-5.8853963
Kurtosis129964.26
Mean-21.218853
Median Absolute Deviation (MAD)6.1252533
Skewness-330.21972
Sum-8179867.9
Variance15595.354
MonotonicityNot monotonic
2024-01-12T13:42:31.216245image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-4.910568237 6
 
< 0.1%
-5.054473877 4
 
< 0.1%
-4.543283081 4
 
< 0.1%
-5.980493164 4
 
< 0.1%
-4.317669678 4
 
< 0.1%
-4.803695679 4
 
< 0.1%
-5.529656982 4
 
< 0.1%
-5.207073975 3
 
< 0.1%
-5.707983398 3
 
< 0.1%
-5.794921875 3
 
< 0.1%
Other values (377669) 385461
> 99.9%
ValueCountFrequency (%)
-57175.30155 1
< 0.1%
-27147.56546 1
< 0.1%
-26213.08175 1
< 0.1%
-24132.99234 1
< 0.1%
-19633.52939 1
< 0.1%
-11174.02682 1
< 0.1%
-4868.865443 1
< 0.1%
-3722.032532 1
< 0.1%
-3718.029122 1
< 0.1%
-3640.766743 1
< 0.1%
ValueCountFrequency (%)
-1.296676532 1
< 0.1%
-1.577714845 1
< 0.1%
-1.65885583 1
< 0.1%
-1.688972783 1
< 0.1%
-1.740748263 1
< 0.1%
-1.754078834 1
< 0.1%
-1.829866315 1
< 0.1%
-1.829890932 1
< 0.1%
-1.861529948 1
< 0.1%
-1.862770994 1
< 0.1%

negpmax[11]
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct370190
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-12.59736
Minimum-48053.652
Maximum-0.67691016
Zeros0
Zeros (%)0.0%
Negative385500
Negative (%)100.0%
Memory size2.9 MiB
2024-01-12T13:42:31.399217image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum-48053.652
5-th percentile-42.678708
Q1-13.61974
median-6.0868957
Q3-4.9193085
95-th percentile-3.9169482
Maximum-0.67691016
Range48052.975
Interquartile range (IQR)8.7004318

Descriptive statistics

Standard deviation101.81297
Coefficient of variation (CV)-8.0820876
Kurtosis156264.56
Mean-12.59736
Median Absolute Deviation (MAD)1.6664492
Skewness-375.08918
Sum-4856282.3
Variance10365.88
MonotonicityNot monotonic
2024-01-12T13:42:31.551242image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-4.324862671 5
 
< 0.1%
-4.840386963 5
 
< 0.1%
-4.875790405 4
 
< 0.1%
-4.616397095 4
 
< 0.1%
-4.633285522 4
 
< 0.1%
-6.180987549 4
 
< 0.1%
-4.271362305 4
 
< 0.1%
-5.357632446 4
 
< 0.1%
-4.802880859 4
 
< 0.1%
-4.696899414 4
 
< 0.1%
Other values (370180) 385458
> 99.9%
ValueCountFrequency (%)
-48053.65215 1
< 0.1%
-30421.15663 1
< 0.1%
-22899.46005 1
< 0.1%
-11250.94698 1
< 0.1%
-5205.200778 1
< 0.1%
-3653.52956 1
< 0.1%
-1927.327313 1
< 0.1%
-1117.782421 1
< 0.1%
-1082.339312 1
< 0.1%
-966.2279201 1
< 0.1%
ValueCountFrequency (%)
-0.6769101631 1
< 0.1%
-0.7331052367 1
< 0.1%
-1.16586669 1
< 0.1%
-1.203739489 1
< 0.1%
-1.310706983 1
< 0.1%
-1.526378556 1
< 0.1%
-1.537976697 1
< 0.1%
-1.610357947 1
< 0.1%
-1.647279814 1
< 0.1%
-1.679115141 1
< 0.1%

negpmax[12]
Real number (ℝ)

SKEWED 

Distinct346807
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-5.6410272
Minimum-48301.216
Maximum118.13184
Zeros0
Zeros (%)0.0%
Negative385499
Negative (%)> 99.9%
Memory size2.9 MiB
2024-01-12T13:42:31.910211image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum-48301.216
5-th percentile-6.549759
Q1-5.3676041
median-4.7599609
Q3-4.2094242
95-th percentile-3.4741454
Maximum118.13184
Range48419.348
Interquartile range (IQR)1.1581799

Descriptive statistics

Standard deviation120.88738
Coefficient of variation (CV)-21.43003
Kurtosis99647.011
Mean-5.6410272
Median Absolute Deviation (MAD)0.57623466
Skewness-298.52931
Sum-2174616
Variance14613.759
MonotonicityNot monotonic
2024-01-12T13:42:32.087219image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-4.322763062 6
 
< 0.1%
-4.384689331 6
 
< 0.1%
-5.034719849 6
 
< 0.1%
-4.637979126 5
 
< 0.1%
-4.401647949 5
 
< 0.1%
-4.839968872 5
 
< 0.1%
-4.896954346 5
 
< 0.1%
-4.201486206 5
 
< 0.1%
-4.892614746 5
 
< 0.1%
-4.554547119 5
 
< 0.1%
Other values (346797) 385447
> 99.9%
ValueCountFrequency (%)
-48301.21603 1
< 0.1%
-36693.15901 1
< 0.1%
-26361.98755 1
< 0.1%
-23539.49497 1
< 0.1%
-19007.2942 1
< 0.1%
-12294.26853 1
< 0.1%
-9328.57124 1
< 0.1%
-5595.076981 1
< 0.1%
-4262.492378 1
< 0.1%
-3983.737025 1
< 0.1%
ValueCountFrequency (%)
118.1318404 1
< 0.1%
-0.8492670739 1
< 0.1%
-0.8973207512 1
< 0.1%
-1.15805932 1
< 0.1%
-1.331709526 1
< 0.1%
-1.341872817 1
< 0.1%
-1.357778017 1
< 0.1%
-1.369817765 1
< 0.1%
-1.436229645 1
< 0.1%
-1.46802301 1
< 0.1%

negpmax[13]
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct380014
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-22.280679
Minimum-14186.921
Maximum-1.3402512
Zeros0
Zeros (%)0.0%
Negative385500
Negative (%)100.0%
Memory size2.9 MiB
2024-01-12T13:42:32.263216image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum-14186.921
5-th percentile-58.6454
Q1-33.413062
median-16.31893
Q3-7.2241821
95-th percentile-4.615182
Maximum-1.3402512
Range14185.581
Interquartile range (IQR)26.18888

Descriptive statistics

Standard deviation35.573168
Coefficient of variation (CV)-1.5965926
Kurtosis100951.18
Mean-22.280679
Median Absolute Deviation (MAD)10.314912
Skewness-270.47916
Sum-8589201.8
Variance1265.4503
MonotonicityNot monotonic
2024-01-12T13:42:32.434254image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-5.129528809 4
 
< 0.1%
-6.357565308 4
 
< 0.1%
-4.923834229 3
 
< 0.1%
-6.673403931 3
 
< 0.1%
-5.679980469 3
 
< 0.1%
-6.255175781 3
 
< 0.1%
-12.12822571 3
 
< 0.1%
-5.072729492 3
 
< 0.1%
-8.182781982 3
 
< 0.1%
-5.266827393 3
 
< 0.1%
Other values (380004) 385468
> 99.9%
ValueCountFrequency (%)
-14186.92083 1
< 0.1%
-12193.05913 1
< 0.1%
-2873.89555 1
< 0.1%
-2634.812908 1
< 0.1%
-1826.826656 1
< 0.1%
-244.3120188 1
< 0.1%
-160.0252238 1
< 0.1%
-83.96565247 1
< 0.1%
-83.51788635 1
< 0.1%
-82.89954224 1
< 0.1%
ValueCountFrequency (%)
-1.340251241 1
< 0.1%
-1.649971296 1
< 0.1%
-1.823561528 1
< 0.1%
-1.858462811 1
< 0.1%
-1.87787212 1
< 0.1%
-1.983622516 1
< 0.1%
-1.985220457 1
< 0.1%
-2.105595419 1
< 0.1%
-2.121166073 1
< 0.1%
-2.121277267 1
< 0.1%

negpmax[14]
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct365576
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-9.8652945
Minimum-39039.395
Maximum74812.277
Zeros0
Zeros (%)0.0%
Negative385499
Negative (%)> 99.9%
Memory size2.9 MiB
2024-01-12T13:42:32.609242image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum-39039.395
5-th percentile-35.897436
Q1-8.2070056
median-5.6508922
Q3-4.7993722
95-th percentile-3.8911559
Maximum74812.277
Range113851.67
Interquartile range (IQR)3.4076334

Descriptive statistics

Standard deviation152.73595
Coefficient of variation (CV)-15.482148
Kurtosis169100.87
Mean-9.8652945
Median Absolute Deviation (MAD)1.1031694
Skewness222.45279
Sum-3803071
Variance23328.269
MonotonicityNot monotonic
2024-01-12T13:42:32.772212image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-5.71133728 5
 
< 0.1%
-5.206564331 5
 
< 0.1%
-5.335623169 5
 
< 0.1%
-4.766656494 5
 
< 0.1%
-5.799734497 5
 
< 0.1%
-4.728585815 5
 
< 0.1%
-4.420578003 4
 
< 0.1%
-4.085986328 4
 
< 0.1%
-4.646548462 4
 
< 0.1%
-4.952313232 4
 
< 0.1%
Other values (365566) 385454
> 99.9%
ValueCountFrequency (%)
-39039.3947 1
< 0.1%
-36273.81597 1
< 0.1%
-16084.10489 1
< 0.1%
-9560.21634 1
< 0.1%
-9382.374572 1
< 0.1%
-6324.974212 1
< 0.1%
-2918.523508 1
< 0.1%
-2788.010868 1
< 0.1%
-2657.907628 1
< 0.1%
-2053.439122 1
< 0.1%
ValueCountFrequency (%)
74812.27737 1
< 0.1%
-0.02359893961 1
< 0.1%
-1.364963863 1
< 0.1%
-1.376395027 1
< 0.1%
-1.407587002 1
< 0.1%
-1.41823263 1
< 0.1%
-1.444069894 1
< 0.1%
-1.453838999 1
< 0.1%
-1.504335684 1
< 0.1%
-1.596983213 1
< 0.1%

negpmax[15]
Real number (ℝ)

SKEWED 

Distinct350646
Distinct (%)91.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-5.2377646
Minimum-52095.638
Maximum74827.648
Zeros0
Zeros (%)0.0%
Negative385499
Negative (%)> 99.9%
Memory size2.9 MiB
2024-01-12T13:42:32.937212image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum-52095.638
5-th percentile-6.6429614
Q1-5.4211914
median-4.7944992
Q3-4.2300949
95-th percentile-3.4791899
Maximum74827.648
Range126923.29
Interquartile range (IQR)1.1910965

Descriptive statistics

Standard deviation150.18111
Coefficient of variation (CV)-28.672749
Kurtosis197590.58
Mean-5.2377646
Median Absolute Deviation (MAD)0.59252167
Skewness210.4312
Sum-2019158.3
Variance22554.366
MonotonicityNot monotonic
2024-01-12T13:42:33.150218image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-4.136791992 5
 
< 0.1%
-4.161181641 5
 
< 0.1%
-4.475442505 5
 
< 0.1%
-4.975274658 5
 
< 0.1%
-5.350512695 5
 
< 0.1%
-3.919665527 5
 
< 0.1%
-4.483834839 5
 
< 0.1%
-4.925302124 5
 
< 0.1%
-4.968304443 5
 
< 0.1%
-4.546630859 5
 
< 0.1%
Other values (350636) 385450
> 99.9%
ValueCountFrequency (%)
-52095.63808 1
< 0.1%
-10782.51957 1
< 0.1%
-9356.515999 1
< 0.1%
-6397.95119 1
< 0.1%
-6201.411623 1
< 0.1%
-5531.603463 1
< 0.1%
-4612.866376 1
< 0.1%
-3431.76475 1
< 0.1%
-2995.142045 1
< 0.1%
-2524.768886 1
< 0.1%
ValueCountFrequency (%)
74827.64771 1
< 0.1%
-0.5981101142 1
< 0.1%
-0.9952318731 1
< 0.1%
-1.071507486 1
< 0.1%
-1.072195301 1
< 0.1%
-1.128484788 1
< 0.1%
-1.148603949 1
< 0.1%
-1.245143758 1
< 0.1%
-1.303206139 1
< 0.1%
-1.31545145 1
< 0.1%

negpmax[16]
Real number (ℝ)

Distinct366191
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-42.152047
Minimum-51.840704
Maximum-29.085419
Zeros0
Zeros (%)0.0%
Negative385500
Negative (%)100.0%
Memory size2.9 MiB
2024-01-12T13:42:33.317216image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum-51.840704
5-th percentile-46.897737
Q1-44.601152
median-42.360754
Q3-39.833169
95-th percentile-36.883684
Maximum-29.085419
Range22.755286
Interquartile range (IQR)4.7679832

Descriptive statistics

Standard deviation3.158175
Coefficient of variation (CV)-0.074923408
Kurtosis-0.34130555
Mean-42.152047
Median Absolute Deviation (MAD)2.3764221
Skewness0.28479606
Sum-16249614
Variance9.9740692
MonotonicityNot monotonic
2024-01-12T13:42:33.481213image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-39.03614807 4
 
< 0.1%
-39.21157227 4
 
< 0.1%
-45.82245178 4
 
< 0.1%
-40.44752197 4
 
< 0.1%
-43.52673645 4
 
< 0.1%
-45.98914795 4
 
< 0.1%
-44.19595642 4
 
< 0.1%
-42.45562134 4
 
< 0.1%
-42.78283997 4
 
< 0.1%
-44.74476318 4
 
< 0.1%
Other values (366181) 385460
> 99.9%
ValueCountFrequency (%)
-51.84070435 1
< 0.1%
-51.73561096 1
< 0.1%
-51.32133484 1
< 0.1%
-51.15716858 1
< 0.1%
-51.02141418 1
< 0.1%
-50.9640564 1
< 0.1%
-50.95532227 1
< 0.1%
-50.93537598 1
< 0.1%
-50.93252258 1
< 0.1%
-50.8945343 1
< 0.1%
ValueCountFrequency (%)
-29.0854187 1
< 0.1%
-29.11946411 1
< 0.1%
-29.25123291 1
< 0.1%
-29.32675476 1
< 0.1%
-29.34969482 1
< 0.1%
-29.43764648 1
< 0.1%
-29.82727661 1
< 0.1%
-29.86309814 1
< 0.1%
-29.92503357 1
< 0.1%
-29.97110596 1
< 0.1%

negpmax[17]
Real number (ℝ)

Distinct368145
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-46.921923
Minimum-57.876959
Maximum-29.592059
Zeros0
Zeros (%)0.0%
Negative385500
Negative (%)100.0%
Memory size2.9 MiB
2024-01-12T13:42:33.659217image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum-57.876959
5-th percentile-52.183282
Q1-49.596344
median-47.147636
Q3-44.375652
95-th percentile-41.114395
Maximum-29.592059
Range28.2849
Interquartile range (IQR)5.2206917

Descriptive statistics

Standard deviation3.4788383
Coefficient of variation (CV)-0.074140999
Kurtosis-0.21931682
Mean-46.921923
Median Absolute Deviation (MAD)2.594046
Skewness0.29451341
Sum-18088401
Variance12.102316
MonotonicityNot monotonic
2024-01-12T13:42:33.812212image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-49.97497559 4
 
< 0.1%
-49.40109253 4
 
< 0.1%
-49.95410156 4
 
< 0.1%
-47.07884827 4
 
< 0.1%
-47.22639465 4
 
< 0.1%
-44.66155396 4
 
< 0.1%
-47.18022766 4
 
< 0.1%
-48.26595459 4
 
< 0.1%
-47.11590881 4
 
< 0.1%
-43.87952271 4
 
< 0.1%
Other values (368135) 385460
> 99.9%
ValueCountFrequency (%)
-57.87695923 1
< 0.1%
-56.86168213 1
< 0.1%
-56.7925354 1
< 0.1%
-56.64504089 1
< 0.1%
-56.47584534 1
< 0.1%
-56.47542725 1
< 0.1%
-56.38648987 1
< 0.1%
-56.24265137 1
< 0.1%
-56.22027283 1
< 0.1%
-56.21234131 1
< 0.1%
ValueCountFrequency (%)
-29.59205933 1
< 0.1%
-30.04884033 1
< 0.1%
-30.09548035 1
< 0.1%
-30.42441711 1
< 0.1%
-30.51028748 1
< 0.1%
-30.51039429 1
< 0.1%
-30.55483398 1
< 0.1%
-30.59162903 1
< 0.1%
-30.60967407 1
< 0.1%
-30.65396423 1
< 0.1%

x
Real number (ℝ)

HIGH CORRELATION 

Distinct81
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean397.72374
Minimum200
Maximum600
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:42:33.990216image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum200
5-th percentile215
Q1285
median400
Q3500
95-th percentile585
Maximum600
Range400
Interquartile range (IQR)215

Descriptive statistics

Standard deviation120.5931
Coefficient of variation (CV)0.30320822
Kurtosis-1.197003
Mean397.72374
Median Absolute Deviation (MAD)110
Skewness0.034705739
Sum1.533225 × 108
Variance14542.697
MonotonicityIncreasing
2024-01-12T13:42:34.176257image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
235 6600
 
1.7%
580 6300
 
1.6%
565 6300
 
1.6%
410 6100
 
1.6%
405 6100
 
1.6%
200 5900
 
1.5%
590 5900
 
1.5%
225 5900
 
1.5%
355 5800
 
1.5%
585 5800
 
1.5%
Other values (71) 324800
84.3%
ValueCountFrequency (%)
200 5900
1.5%
205 5300
1.4%
210 5600
1.5%
215 5600
1.5%
220 4800
1.2%
225 5900
1.5%
230 5600
1.5%
235 6600
1.7%
240 5800
1.5%
245 5800
1.5%
ValueCountFrequency (%)
600 5300
1.4%
595 5500
1.4%
590 5900
1.5%
585 5800
1.5%
580 6300
1.6%
575 5100
1.3%
570 5500
1.4%
565 6300
1.6%
560 5500
1.4%
555 5800
1.5%

y
Real number (ℝ)

HIGH CORRELATION 

Distinct81
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean404.10636
Minimum200
Maximum600
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:42:34.346217image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum200
5-th percentile225
Q1310
median405
Q3500
95-th percentile580
Maximum600
Range400
Interquartile range (IQR)190

Descriptive statistics

Standard deviation113.65223
Coefficient of variation (CV)0.28124336
Kurtosis-1.1513592
Mean404.10636
Median Absolute Deviation (MAD)95
Skewness-0.027233727
Sum1.55783 × 108
Variance12916.829
MonotonicityNot monotonic
2024-01-12T13:42:34.503212image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
390 6100
 
1.6%
485 5900
 
1.5%
495 5900
 
1.5%
540 5700
 
1.5%
400 5600
 
1.5%
395 5600
 
1.5%
380 5500
 
1.4%
375 5500
 
1.4%
525 5400
 
1.4%
520 5400
 
1.4%
Other values (71) 328900
85.3%
ValueCountFrequency (%)
200 3800
1.0%
205 3400
0.9%
210 3900
1.0%
215 3400
0.9%
220 3900
1.0%
225 4100
1.1%
230 4600
1.2%
235 4800
1.2%
240 4200
1.1%
245 4000
1.0%
ValueCountFrequency (%)
600 4700
1.2%
595 5300
1.4%
590 4700
1.2%
585 4400
1.1%
580 4700
1.2%
575 4500
1.2%
570 4000
1.0%
565 4300
1.1%
560 3900
1.0%
555 4000
1.0%

Interactions

2024-01-12T13:42:21.326210image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:04.238133image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:08.513511image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:12.729488image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:16.712519image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:20.602483image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:24.388509image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:28.501526image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:32.240477image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:35.893520image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:39.883248image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:44.585242image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:48.424214image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:52.626210image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:57.102242image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:42:00.859214image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:42:05.199211image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:42:09.337219image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:42:13.774241image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:42:17.469242image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:42:21.538215image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:04.465108image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:08.724481image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:12.945483image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:16.915520image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:20.805484image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:24.581484image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:28.716489image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:32.435509image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:36.099487image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:40.126210image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:44.796246image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:48.610244image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:52.817215image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:57.299242image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:42:01.143211image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:42:05.414256image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:42:09.579242image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:42:13.985223image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:42:17.667214image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:42:21.720214image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:04.676109image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:08.936519image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:13.135480image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:17.113483image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:21.015509image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:24.778505image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:28.884522image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:32.627510image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:36.275514image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:40.326241image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:44.985211image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:48.800212image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:53.034210image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:57.480242image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:42:01.369211image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:42:05.637224image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:42:09.801241image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:42:14.189242image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:42:17.844243image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:42:21.903212image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:04.868133image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:09.136485image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:13.317480image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:17.274479image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:21.190513image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:24.942509image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:29.057509image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:32.796509image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:36.444511image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:40.500241image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:45.152210image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:48.967216image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:53.284211image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:57.648241image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:42:01.564216image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:42:05.833213image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:42:09.997214image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:42:14.355241image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:42:18.043241image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:42:22.090241image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:05.095106image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:09.353509image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:13.495480image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:17.442523image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:21.371480image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:25.126482image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:29.241509image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:32.979482image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:36.613482image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:40.701210image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:45.352211image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:49.165244image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:53.558214image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:57.842241image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:42:01.757213image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:42:06.051212image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:42:10.193242image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:42:14.527241image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:42:18.236241image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:42:22.270209image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:05.335103image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:09.548478image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:13.669479image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:17.608485image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:21.536484image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:25.289509image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:29.414482image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:33.165482image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:36.807484image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:40.888214image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:45.521241image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:49.334244image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:53.799211image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:58.030210image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:42:01.958214image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:42:06.234241image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:42:10.377222image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:42:14.692211image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
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2024-01-12T13:42:24.594214image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:07.626509image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:11.965488image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:15.949481image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:19.781480image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:23.650485image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:27.650484image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:31.480509image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:35.149509image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:39.034214image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:43.784211image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:47.645211image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:51.677212image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:56.143210image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:42:00.093242image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:42:04.321211image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:42:08.545243image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:42:12.916209image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:42:16.725211image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:42:20.493241image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:42:24.777211image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:07.838520image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:12.165510image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:16.137480image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:19.978485image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:23.815509image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:27.829484image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:31.654484image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:35.325511image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:39.227214image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:44.007210image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:47.823241image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:51.863212image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:56.344242image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:42:00.281242image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:42:04.519241image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:42:08.725242image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:42:13.119211image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:42:16.894241image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:42:20.686241image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:42:24.975219image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:08.068484image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:12.353509image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:16.298510image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:20.201480image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:24.018486image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:28.061478image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:31.826486image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:35.527509image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:39.423241image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:44.195215image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:48.025276image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:52.160232image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:56.515241image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:42:00.459209image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:42:04.721217image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:42:08.923245image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:42:13.341212image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:42:17.092242image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:42:20.889211image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:42:25.172242image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:08.300482image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:12.537479image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:16.496488image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:20.406509image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:24.199512image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:28.299482image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:32.052509image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:35.707480image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:39.643251image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:44.383241image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:48.234212image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:52.378259image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:41:56.907215image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:42:00.650254image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:42:04.984219image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:42:09.136217image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:42:13.583228image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:42:17.281247image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:42:21.118212image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Correlations

2024-01-12T13:42:34.709215image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
negpmax[0]negpmax[10]negpmax[11]negpmax[12]negpmax[13]negpmax[14]negpmax[15]negpmax[16]negpmax[17]negpmax[1]negpmax[2]negpmax[3]negpmax[4]negpmax[5]negpmax[6]negpmax[7]negpmax[8]negpmax[9]xy
negpmax[0]1.0000.0240.0430.0710.0210.0530.069-0.0170.0140.0540.0660.0390.0570.0220.0550.0670.0450.054-0.001-0.001
negpmax[10]0.0241.0000.3170.024-0.121-0.1590.023-0.0050.031-0.454-0.214-0.587-0.358-0.019-0.1340.0220.4060.4760.4670.683
negpmax[11]0.0430.3171.0000.0450.4470.4840.046-0.0200.015-0.014-0.106-0.365-0.338-0.491-0.3080.044-0.271-0.002-0.3540.656
negpmax[12]0.0710.0240.0451.0000.0210.0540.068-0.0200.0160.0530.0620.0390.0550.0230.0540.0690.0430.058-0.001-0.001
negpmax[13]0.021-0.1210.4470.0211.0000.5090.028-0.019-0.0000.4420.0510.237-0.279-0.320-0.4330.021-0.585-0.318-0.7480.153
negpmax[14]0.053-0.1590.4840.0540.5091.0000.055-0.0240.0070.3210.032-0.063-0.219-0.483-0.2180.056-0.331-0.148-0.5590.303
negpmax[15]0.0690.0230.0460.0680.0280.0551.000-0.0160.0090.0560.0660.0390.0510.0170.0500.0650.0430.057-0.0060.001
negpmax[16]-0.017-0.005-0.020-0.020-0.019-0.024-0.0161.0000.000-0.015-0.015-0.009-0.0060.019-0.009-0.026-0.005-0.0170.014-0.003
negpmax[17]0.0140.0310.0150.016-0.0000.0070.0090.0001.0000.0000.008-0.0030.0070.0090.0250.0150.0270.0280.0170.002
negpmax[1]0.054-0.454-0.0140.0530.4420.3210.056-0.0150.0001.0000.3150.467-0.046-0.321-0.2060.051-0.361-0.184-0.614-0.237
negpmax[2]0.066-0.214-0.1060.0620.0510.0320.066-0.0150.0080.3151.0000.3340.078-0.092-0.0320.064-0.105-0.031-0.231-0.236
negpmax[3]0.039-0.587-0.3650.0390.237-0.0630.039-0.009-0.0030.4670.3341.0000.3510.1930.0000.037-0.371-0.290-0.394-0.689
negpmax[4]0.057-0.358-0.3380.055-0.279-0.2190.051-0.0060.007-0.0460.0780.3511.0000.5000.4230.0540.044-0.1390.199-0.574
negpmax[5]0.022-0.019-0.4910.023-0.320-0.4830.0170.0190.009-0.321-0.0920.1930.5001.0000.5280.0230.362-0.0620.552-0.555
negpmax[6]0.055-0.134-0.3080.054-0.433-0.2180.050-0.0090.025-0.206-0.0320.0000.4230.5281.0000.0570.3650.0040.454-0.382
negpmax[7]0.0670.0220.0440.0690.0210.0560.065-0.0260.0150.0510.0640.0370.0540.0230.0571.0000.0440.055-0.001-0.001
negpmax[8]0.0450.406-0.2710.043-0.585-0.3310.043-0.0050.027-0.361-0.105-0.3710.0440.3620.3650.0441.0000.4210.7360.073
negpmax[9]0.0540.476-0.0020.058-0.318-0.1480.057-0.0170.028-0.184-0.031-0.290-0.139-0.0620.0040.0550.4211.0000.4010.338
x-0.0010.467-0.354-0.001-0.748-0.559-0.0060.0140.017-0.614-0.231-0.3940.1990.5520.454-0.0010.7360.4011.0000.003
y-0.0010.6830.656-0.0010.1530.3030.001-0.0030.002-0.237-0.236-0.689-0.574-0.555-0.382-0.0010.0730.3380.0031.000

Missing values

2024-01-12T13:42:25.408211image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-12T13:42:26.073241image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

negpmax[0]negpmax[1]negpmax[2]negpmax[3]negpmax[4]negpmax[5]negpmax[6]negpmax[7]negpmax[8]negpmax[9]negpmax[10]negpmax[11]negpmax[12]negpmax[13]negpmax[14]negpmax[15]negpmax[16]negpmax[17]xy
0-17.690173-17.721210-19.892543-23.747293-18.008972-19.477101-19.239130-17.555292-15.625539-56.828006-19.716336-18.148151-18.432141-16.861163-17.685799-18.546884-36.282996-39.848523200.0200.0
1-4.717111-4.736827-3.787175-5.427002-4.670676-3.896777-4.675986-4.857126-11.742902-58.803436-19.613623-5.670920-6.770750-3.372324-5.154840-4.697864-39.715988-41.266681200.0200.0
2-5.316132-5.985437-3.948853-4.559235-4.761539-5.343427-5.021164-5.049019-11.581955-62.801328-23.637970-4.282883-4.282668-5.742383-3.860550-4.584915-40.679678-42.712286200.0200.0
3-4.617459-4.229949-5.576041-4.981216-3.985501-4.916791-3.594675-6.250171-10.409299-62.658493-21.114725-5.595096-5.788109-6.342114-5.576315-4.744748-43.206601-50.681940200.0200.0
4-4.848743-5.783587-5.137939-4.447104-6.137964-4.582629-4.172168-4.346878-10.298044-68.653479-20.666324-5.728705-5.890051-4.396436-5.361823-5.357361-43.570892-49.923819200.0200.0
5-3.896768-3.405553-5.204761-4.469138-5.890676-4.753568-4.395551-4.798978-12.842365-56.382227-19.254691-6.212802-4.325269-5.053393-5.605902-2.914868-41.959821-44.895685200.0200.0
6-4.818796-4.608078-4.964096-4.365219-5.080002-5.562485-3.567569-4.757306-10.002444-64.914774-24.768631-5.223541-5.011026-4.367889-5.102408-6.436594-40.479129-50.114883200.0200.0
7-5.868010-6.120251-4.250989-4.964636-6.876218-3.756363-4.476944-5.096167-13.742093-65.873636-21.225076-5.077420-5.644226-4.979575-4.244864-4.208823-40.843561-46.853497200.0200.0
8-4.299841-3.360784-5.028360-4.860266-5.093504-5.627499-6.237152-4.674158-11.970520-67.912115-21.286942-5.052600-4.582413-5.558360-4.701236-3.988681-44.683786-49.963916200.0200.0
9-5.017157-8.019331-5.341691-3.950790-3.400754-5.748590-4.246588-4.125860-12.743930-61.650256-20.274594-6.269320-5.239504-4.299313-6.045334-6.017654-38.217709-43.907004200.0200.0
negpmax[0]negpmax[1]negpmax[2]negpmax[3]negpmax[4]negpmax[5]negpmax[6]negpmax[7]negpmax[8]negpmax[9]negpmax[10]negpmax[11]negpmax[12]negpmax[13]negpmax[14]negpmax[15]negpmax[16]negpmax[17]xy
385490-4.501779-26.969702-32.726605-32.516446-5.343597-5.392161-4.589096-4.221921-5.152640-4.890378-5.354333-6.479626-5.315956-6.168420-6.206964-4.185980-39.593402-47.242966600.0595.0
385491-3.982251-25.456195-34.080374-37.029916-5.521088-5.241403-4.728412-5.276494-4.689798-5.502866-4.317996-5.131808-5.036768-8.289230-6.018223-4.080182-43.520340-39.420511600.0595.0
385492-3.960229-30.269794-33.020096-36.652084-3.457065-4.666489-4.874847-3.891537-4.688153-4.820825-4.494385-4.589545-4.170751-7.498874-4.735043-5.268091-38.205060-48.230594600.0595.0
385493-3.695023-26.367410-34.468567-37.945959-5.638428-6.687085-6.087905-3.378370-4.321753-6.580292-6.418494-5.029148-5.413705-11.266699-7.426369-2.954373-45.393622-46.930933600.0595.0
385494-4.719049-30.902853-34.107495-38.835590-5.175967-5.032724-4.681360-2.618259-5.808957-3.570309-5.451245-3.022403-4.503656-5.828592-4.634589-4.805499-45.227106-50.072543600.0595.0
385495-3.872162-26.266623-29.947864-36.910852-3.202997-5.162094-4.497623-5.660696-4.807355-4.966765-4.641771-6.992345-5.627954-7.531409-4.147369-4.857419-39.634247-47.182980600.0595.0
385496-5.534358-26.138474-34.662131-37.721255-5.173907-5.582098-4.323596-3.837952-4.986447-4.160602-4.664246-5.161127-4.732547-5.505725-5.125480-3.520840-40.229095-49.995053600.0595.0
385497-5.801462-30.943115-35.670273-38.344370-5.173453-4.633670-5.319577-3.618164-3.944553-5.145389-3.648233-4.516763-4.829733-6.318405-3.479907-5.187308-46.600293-43.620535600.0595.0
385498-5.017258-22.520367-33.298181-36.103391-4.629693-4.630464-4.281985-3.948083-4.348218-2.968319-4.522888-5.050461-4.139905-6.915601-5.030399-4.574358-43.848615-49.387009600.0595.0
385499-21.787461-26.616895-31.891431-37.448969-17.717380-18.863248-21.837317-16.178510-18.913599-20.433275-21.246221-15.145020-18.254765-17.559171-20.049325-22.519223-43.600342-51.947507600.0595.0